{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "499617b6",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "login success!\n",
      "logout success!\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "<baostock.data.resultset.ResultData at 0x7f531e510a90>"
      ]
     },
     "execution_count": 1,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "import datetime\n",
    "import pandas as pd\n",
    "import baostock as bs\n",
    "import backtrader as bt\n",
    "\n",
    "#### 登陆baostock系统（数据来源） ####\n",
    "lg = bs.login()\n",
    "#### 获取历史5分钟K线数据 ####\n",
    "# query_history_k_data()\n",
    "fields= \"time,code,open,high,low,close\"\n",
    "rs = bs.query_history_k_data(\"sh.600031\", fields,\n",
    "    start_date='2022-01-01', end_date='2022-06-14', \n",
    "    frequency=\"5\", adjustflag=\"2\")\n",
    "data_list = []\n",
    "while (rs.error_code == '0') & rs.next():\n",
    "    # 获取一条记录，将记录合并在一起\n",
    "    data_list.append(rs.get_row_data())\n",
    "result = pd.DataFrame(data_list, columns=rs.fields)\n",
    "result.index=pd.to_datetime(result.time, format='%Y%m%d%H%M00000')\n",
    "data1 = result[['open', 'close', 'high', 'low']].apply(pd.to_numeric)\n",
    "\n",
    "fields= \"date,code,open,high,low,close\"\n",
    "rs = bs.query_history_k_data(\"sh.600031\", fields,\n",
    "    start_date='2022-01-01', end_date='2022-06-17', \n",
    "    frequency=\"d\", adjustflag=\"2\")\n",
    "data_list = []\n",
    "while (rs.error_code == '0') & rs.next():\n",
    "    # 获取一条记录，将记录合并在一起\n",
    "    data_list.append(rs.get_row_data())\n",
    "result = pd.DataFrame(data_list, columns=rs.fields)\n",
    "result.index=pd.to_datetime(result.date, format='%Y-%m-%d')\n",
    "data2 = result[['open', 'close', 'high', 'low']].apply(pd.to_numeric)\n",
    "bs.logout()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "839cb35f",
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "启动资金：50000.00\n",
      "2022-02-08T14:50:00 4、空仓时，收盘前10分钟，收红盘，收盘价大于5日线，买入\n",
      "2022-02-08T14:55:00 BUY COMPLETE, 20.68, size:1000, pos: 1000\n",
      "2022-02-08T14:55:00 TRADE OPENED, SIZE 1000, PRICE 20.68126819, VALUE 20681.268190000003\n",
      "2022-02-09T14:50:00 3、收盘前10分钟，收绿盘价格<20日线，清仓\n",
      "2022-02-09T14:55:00 SELL COMPLETE, 20.62\n",
      "2022-02-09T14:55:00 TRADE PROFIT, GROSS -58.45, NET -99.75 \n",
      "\n",
      "2022-02-18T14:50:00 4、空仓时，收盘前10分钟，收红盘，收盘价大于5日线，买入\n",
      "2022-02-18T14:55:00 BUY COMPLETE, 20.27, size:1000, pos: 1000\n",
      "2022-02-18T14:55:00 TRADE OPENED, SIZE 1000, PRICE 20.27212393, VALUE 20272.123929999998\n",
      "2022-02-21T14:50:00 3、收盘前10分钟，收绿盘价格<20日线，清仓\n",
      "2022-02-21T14:55:00 SELL COMPLETE, 20.23\n",
      "2022-02-21T14:55:00 TRADE PROFIT, GROSS -38.97, NET -79.47 \n",
      "\n",
      "2022-02-23T14:50:00 4、空仓时，收盘前10分钟，收红盘，收盘价大于5日线，买入\n",
      "2022-02-23T14:55:00 BUY COMPLETE, 20.20, size:1000, pos: 1000\n",
      "2022-02-23T14:55:00 TRADE OPENED, SIZE 1000, PRICE 20.20393322, VALUE 20203.93322\n",
      "2022-02-24T14:50:00 3、收盘前10分钟，收绿盘价格<20日线，清仓\n",
      "2022-02-24T14:55:00 SELL COMPLETE, 19.70\n",
      "2022-02-24T14:55:00 TRADE PROFIT, GROSS -506.56, NET -546.46 \n",
      "\n",
      "2022-03-11T14:50:00 4、空仓时，收盘前10分钟，收红盘，收盘价大于5日线，买入\n",
      "2022-03-11T14:55:00 BUY COMPLETE, 17.37, size:1000, pos: 1000\n",
      "2022-03-11T14:55:00 TRADE OPENED, SIZE 1000, PRICE 17.36914799, VALUE 17369.147989999998\n",
      "2022-03-14T14:50:00 3、收盘前10分钟，收绿盘价格<20日线，清仓\n",
      "2022-03-14T14:55:00 SELL COMPLETE, 17.07\n",
      "2022-03-14T14:55:00 TRADE PROFIT, GROSS -301.99, NET -336.42 \n",
      "\n",
      "2022-03-17T14:50:00 4、空仓时，收盘前10分钟，收红盘，收盘价大于5日线，买入\n",
      "2022-03-17T14:55:00 BUY COMPLETE, 17.26, size:1000, pos: 1000\n",
      "2022-03-17T14:55:00 TRADE OPENED, SIZE 1000, PRICE 17.26199116, VALUE 17261.99116\n",
      "2022-03-21T14:50:00 3、收盘前10分钟，收绿盘价格<20日线，清仓\n",
      "2022-03-21T14:55:00 SELL COMPLETE, 17.31\n",
      "2022-03-21T14:55:00 TRADE PROFIT, GROSS 48.71, NET 14.13 \n",
      "\n",
      "2022-03-30T14:50:00 4、空仓时，收盘前10分钟，收红盘，收盘价大于5日线，买入\n",
      "2022-03-30T14:55:00 BUY COMPLETE, 17.15, size:1000, pos: 1000\n",
      "2022-03-30T14:55:00 TRADE OPENED, SIZE 1000, PRICE 17.1450928, VALUE 17145.092800000002\n",
      "2022-04-08T10:00:00 开盘后涨5个点，卖一半，记录卖出价1；\n",
      "2022-04-08T10:05:00 SELL COMPLETE, 18.16\n",
      "2022-04-08T14:50:00 盘中未能出现出现比价2低4个点\n",
      "2022-04-08T14:55:00 尾盘仓位回归\n",
      "2022-04-08T15:00:00 BUY COMPLETE, 18.78, size:500.0, pos: 1000.0\n",
      "2022-04-19T14:50:00 3、收盘前10分钟，收绿盘价格<20日线，清仓\n",
      "2022-04-19T14:55:00 SELL COMPLETE, 17.18\n",
      "2022-04-19T14:55:00 TRADE PROFIT, GROSS -272.76, NET -325.56 \n",
      "\n",
      "2022-04-28T14:50:00 4、空仓时，收盘前10分钟，收红盘，收盘价大于5日线，买入\n",
      "2022-04-28T14:55:00 BUY COMPLETE, 15.39, size:1000, pos: 1000.0\n",
      "2022-04-28T14:55:00 TRADE OPENED, SIZE 1000, PRICE 15.3916174, VALUE 15391.6174\n",
      "2022-04-29T13:15:00 开盘后涨5个点，卖一半，记录卖出价1；\n",
      "2022-04-29T13:20:00 SELL COMPLETE, 16.31\n",
      "2022-04-29T14:50:00 盘中未能出现出现比价2低4个点\n",
      "2022-04-29T14:55:00 尾盘仓位回归\n",
      "2022-04-29T15:00:00 BUY COMPLETE, 16.08, size:500.0, pos: 1000.0\n",
      "2022-05-06T14:50:00 3、收盘前10分钟，收绿盘价格<20日线，清仓\n",
      "2022-05-06T14:55:00 SELL COMPLETE, 15.79\n",
      "2022-05-06T14:55:00 TRADE PROFIT, GROSS 511.43, NET 464.05 \n",
      "\n",
      "2022-05-16T14:50:00 4、空仓时，收盘前10分钟，收红盘，收盘价大于5日线，买入\n",
      "2022-05-16T14:55:00 BUY COMPLETE, 15.80, size:1000, pos: 1000.0\n",
      "2022-05-16T14:55:00 TRADE OPENED, SIZE 1000, PRICE 15.80076166, VALUE 15800.761659999998\n",
      "2022-05-18T14:50:00 3、收盘前10分钟，收绿盘价格<20日线，清仓\n",
      "2022-05-18T14:55:00 SELL COMPLETE, 15.69\n",
      "2022-05-18T14:55:00 TRADE PROFIT, GROSS -107.16, NET -138.65 \n",
      "\n",
      "2022-05-20T14:50:00 4、空仓时，收盘前10分钟，收红盘，收盘价大于5日线，买入\n",
      "2022-05-20T14:55:00 BUY COMPLETE, 16.17, size:1000, pos: 1000.0\n",
      "2022-05-20T14:55:00 TRADE OPENED, SIZE 1000, PRICE 16.1709398, VALUE 16170.9398\n",
      "2022-05-24T14:50:00 3、收盘前10分钟，收绿盘价格<20日线，清仓\n",
      "2022-05-24T14:55:00 SELL COMPLETE, 15.59\n",
      "2022-05-24T14:55:00 TRADE PROFIT, GROSS -584.49, NET -616.25 \n",
      "\n",
      "2022-05-25T14:50:00 4、空仓时，收盘前10分钟，收红盘，收盘价大于5日线，买入\n",
      "2022-05-25T14:55:00 BUY COMPLETE, 15.83, size:1000, pos: 1000.0\n",
      "2022-05-25T14:55:00 TRADE OPENED, SIZE 1000, PRICE 15.82998625, VALUE 15829.98625\n",
      "2022-05-26T11:30:00 开盘后涨5个点，卖一半，记录卖出价1；\n",
      "2022-05-26T13:05:00 SELL COMPLETE, 16.71\n",
      "2022-05-26T14:50:00 盘中未能出现出现比价2低4个点\n",
      "2022-05-26T14:55:00 尾盘仓位回归\n",
      "2022-05-26T15:00:00 BUY COMPLETE, 16.65, size:500.0, pos: 1000.0\n",
      "2022-06-13T10:45:00 开盘后涨5个点，卖一半，记录卖出价1；\n",
      "2022-06-13T10:50:00 SELL COMPLETE, 17.71\n",
      "2022-06-13T14:50:00 盘中未能出现出现比价2低4个点\n",
      "2022-06-13T14:55:00 尾盘仓位回归\n",
      "2022-06-13T15:00:00 BUY COMPLETE, 17.58, size:500.0, pos: 1000.0\n",
      "期末资金：50789.70\n"
     ]
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "ac12d3235e114e67941d094475b87535",
       "version_major": 2,
       "version_minor": 0
      },
      "image/png": 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",
      "text/html": [
       "\n",
       "            <div style=\"display: inline-block;\">\n",
       "                <div class=\"jupyter-widgets widget-label\" style=\"text-align: center;\">\n",
       "                    Figure\n",
       "                </div>\n",
       "                <img src='' width=640.0/>\n",
       "            </div>\n",
       "        "
      ],
      "text/plain": [
       "Canvas(toolbar=Toolbar(toolitems=[('Home', 'Reset original view', 'home', 'home'), ('Back', 'Back to previous …"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "class StrategyClass(bt.Strategy):\n",
    "    params = dict(\n",
    "        half=1000,\n",
    "    )\n",
    "    \n",
    "    def _reset(self, daytemp=None):\n",
    "        self.daytemp = daytemp or (self.data.open[0], self.data.close[0], self.data.high[0], self.data.low[0])\n",
    "        self.over = False\n",
    "        self.sell1 = True\n",
    "        self.sell2 = True\n",
    "        self.buy1 = True\n",
    "        self.buy2 = True\n",
    "        d = self.datetime.datetime() if len(self) > 0 else datetime.datetime.now()\n",
    "        self.validtime = datetime.datetime(d.year, d.month, d.day, 14, 49)\n",
    "\n",
    "    def __init__(self):\n",
    "        self.currTrade = (None, 0)\n",
    "        self._reset((0, 0, 0, 0))\n",
    "        # 20日均线\n",
    "        self.sma20 = bt.ind.SMA(self.data1.close, period=20)\n",
    "        # 5日均线\n",
    "        self.sma5 = bt.ind.SMA(self.data1.close, period=5)\n",
    "        \n",
    "    def log(self, txt, dt=None):\n",
    "        dt = dt or self.data.datetime.datetime()\n",
    "        print(\"%s %s\" % (dt.isoformat(), txt))\n",
    "        \n",
    "    def notify_order(self, order):\n",
    "        if order.status in [bt.Order.Submitted, bt.Order.Accepted]:\n",
    "            return  # Await further notifications\n",
    "\n",
    "        if order.status == order.Completed:\n",
    "            if order.isbuy():\n",
    "                buytxt = 'BUY COMPLETE, %.2f, size:%s, pos: %s' % (order.executed.price, order.executed.size, self.position.size)\n",
    "                self.log(buytxt, bt.num2date(order.executed.dt))\n",
    "            else:\n",
    "                selltxt = 'SELL COMPLETE, %.2f' % order.executed.price\n",
    "                self.log(selltxt, bt.num2date(order.executed.dt))\n",
    "        elif 'log' in order.info:\n",
    "            self.log(\"盘中未能出现\" + order.info['log'])\n",
    "        elif order.status in [order.Expired, order.Canceled, order.Margin]:\n",
    "            self.log('%s , %s' % (order.Status[order.status], order))\n",
    "            pass  # Simply log\n",
    "\n",
    "        # Allow new orders\n",
    "        self.orderid = None\n",
    "\n",
    "    def notify_trade(self, trade):\n",
    "        if trade.isclosed:\n",
    "            self.log('TRADE PROFIT, GROSS %.2f, NET %.2f \\n' %\n",
    "                     (trade.pnl, trade.pnlcomm))\n",
    "\n",
    "        elif trade.justopened:\n",
    "            self.currTrade = (trade, trade.value)\n",
    "            self.log('TRADE OPENED, SIZE %2d, PRICE %s, VALUE %s' % (trade.size, trade.price, trade.value))\n",
    "\n",
    "    def _dayend(self, m = [5, 10]):\n",
    "        d = self.datetime.datetime()\n",
    "        t = 60 - d.minute\n",
    "        return d.hour == 14 and (t in m)\n",
    "    \n",
    "    def _red(self):\n",
    "        return self.daytemp[0] < self.daytemp[1]\n",
    "    \n",
    "    def _greed(self):\n",
    "        return self.daytemp[0] > self.daytemp[1]\n",
    "    \n",
    "    def next(self):\n",
    "        if len(self) == 1 or self.datetime.datetime().date() != self.datetime.datetime(-1).date():\n",
    "            self._reset()\n",
    "        else:\n",
    "            self.daytemp = (self.daytemp[0], self.data.close[0], \n",
    "                            self.daytemp[2] if self.daytemp[2] > self.data.high[0] else self.data.high[0],\n",
    "                            self.daytemp[3] if self.daytemp[3] < self.data.low[0] else self.data.low[0]\n",
    "                           )\n",
    "\n",
    "#         if self._dayend([0]):\n",
    "#             pass\n",
    "        if self.over:\n",
    "            # 今日已完结\n",
    "            return\n",
    "        \n",
    "        if self._dayend(): # 尾盘前十分钟\n",
    "            if not self.position:\n",
    "                # 4、空仓时，收盘前10分钟，收红盘，收盘价大于5日线，买入，其它情况不买\n",
    "                if self._red() and self.daytemp[1] > self.sma5[0]:\n",
    "                    # TODO 空仓买入\n",
    "                    self.log(\"4、空仓时，收盘前10分钟，收红盘，收盘价大于5日线，买入\")\n",
    "                    self.buy(size=self.p.half)\n",
    "                self.over = True\n",
    "            else:\n",
    "                # 3、收盘前10分钟，收绿盘价格<20日线，清仓，其它情况持仓\n",
    "                if self._greed() and self.daytemp[1] < self.sma20[0]:\n",
    "                    self.log(\"3、收盘前10分钟，收绿盘价格<20日线，清仓\")\n",
    "                    self.close()\n",
    "                    self.over = True\n",
    "                    return\n",
    "                # 7、每日监测收益，超过20%后，如果出现当日最低跌幅达到7个点时，清仓。\n",
    "                if ((self.currTrade[0].pnlcomm - self.currTrade[1]) / self.currTrade[1] > 0.2 and\n",
    "                    (self.data1.close[-1] - self.daytemp[3]) / self.data1.close[-1] > 0.07):\n",
    "                    self.log(\"7、每日监测收益，超过20%后，如果出现当日最低跌幅达到7个点时，清仓\")\n",
    "                    self.close()\n",
    "                    self.over = True\n",
    "                    return\n",
    "                if self._dayend([5]) and self.position.size < self.p.half:\n",
    "                    # 尾盘五分钟，仓位回归\n",
    "                    upover = (self.data.close[0] - self.data1.close[-1] + 0.01) / self.data.close[-1] > 0.1\n",
    "                    downover = (self.data1.close[-1]- self.data.close[0] + 0.01) / self.data.close[-1] > 0.1\n",
    "                    if not (upover or downover):\n",
    "                        #且非涨跌停\n",
    "                        self.log(\"尾盘仓位回归\")\n",
    "                        self.order_target_size(target=self.p.half)\n",
    "                        self.over = True\n",
    "                        return\n",
    "                    \n",
    "        elif self.position.size > 0:\n",
    "            if self.sell2 and (self.data.close[0] - self.data1.close[-1] + 0.01) / self.data.close[-1] > 0.1:\n",
    "                # 涨停\n",
    "                self.sell2 = False\n",
    "                self.log(\"涨停，全卖，记录卖出价2；\")\n",
    "                size = self.position.size\n",
    "                order = self.sell(size=size)\n",
    "                self.buy(size=size, exectype=bt.Order.Limit, price=self.data.close[0]*(1-0.03), \n",
    "                              valid=self.validtime, log=\"出现比价1低三个点时\")\n",
    "            if self.sell1 and (self.data.close[0] - self.data1.close[-1] + 0.01) / self.data.close[-1] >= 0.05:\n",
    "                self.sell1 = False\n",
    "                if self.position.size > self.p.half / 2:\n",
    "                    self.log(\"开盘后涨5个点，卖一半，记录卖出价1；\")\n",
    "                    order = self.order_target_size(target=self.p.half/2)\n",
    "                    self.buy(size=self.p.half/2, exectype=bt.Order.Limit, price=self.data.close[0]*(1-0.04), \n",
    "                              valid=self.validtime, log=\"出现比价2低4个点\")\n",
    "                pass\n",
    "            if self.buy2 and (self.data1.close[-1] - self.data.close[0] + 0.01) / self.data.close[-1] > 0.1:\n",
    "                # 跌停\n",
    "                self.buy2 = False\n",
    "                if self.position.size < self.p.half * 2:\n",
    "                    self.log(\"跌停买入再买1/4，标注买入价格2；\")\n",
    "                    order = self.order_target_size(target=self.p.half*2)\n",
    "                    self.sell(size=self.p.half/2, exectype=bt.Order.Limit, price=self.data.close[0]*(1+0.03), \n",
    "                              valid=self.validtime, log=\"比价2高三个点时\")\n",
    "            if self.buy1 and (self.data1.close[-1] - self.data.close[0] + 0.01) / self.data.close[-1] > 0.05:\n",
    "                self.buy1 = False\n",
    "                if self.position.size < self.p.half * 3 / 2:\n",
    "                    self.log(\"开盘后跌5个点，买仓位1/4，记录买入价格1；\")\n",
    "                    order = self.order_target_size(target=self.p.half * 3 / 2)\n",
    "                    self.sell(size=self.p.half/2, exectype=bt.Order.Limit, price=self.data.close[0]*(1+0.03), \n",
    "                              valid=self.validtime, log=\"出现比价1高三个点时\")\n",
    "\n",
    "\n",
    "\n",
    "\n",
    "cerebro = bt.Cerebro()\n",
    "# 设置启动资金\n",
    "cerebro.broker.setcash(50000.0)\n",
    "# 设置佣金\n",
    "cerebro.broker.setcommission(commission=0.001)\n",
    "\n",
    "cerebro.addstrategy(StrategyClass, half=1000)\n",
    "\n",
    "dataframe = data1 # 5分钟K线数据\n",
    "data = bt.feeds.PandasData(dataname=dataframe, timeframe=4)\n",
    "cerebro.adddata(data)\n",
    "\n",
    "dataframe = data2 # 日K线数据\n",
    "data = bt.feeds.PandasData(dataname=dataframe)\n",
    "cerebro.adddata(data)\n",
    "\n",
    "print('启动资金：%.2f' % cerebro.broker.getvalue())\n",
    "cerebro.run(runonce=False)\n",
    "print('期末资金：%.2f' % cerebro.broker.getvalue())\n",
    "cerebro.plot(volume=False)[0][0].set_size_inches(9.6,7)"
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